30 citations · 56 across the 9 of their papers we have counts for
11 papers
CRAN Task Views: The Next Generation
Achim Zeileis, Roger Bivand, Dirk Eddelbuettel +2
CRAN Task Views have been available on the Comprehensive R Archive Network since 2005. They provide guidance about which CRAN packages are relevant for tasks related to a certain t…
mlpack 4: a fast, header-only C++ machine learning library
Ryan R. Curtin, Marcus Edel, Omar Shrit +16
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge m…
Redis for Market Monitoring
Dirk Eddelbuettel
This note shows how to use Redis cache (near-)real-time market data, and utilise its publish/subscribe ("pub/sub") facility to distribute the data.
A Brief Introduction to Redis
Dirk Eddelbuettel
This note provides a brief introduction to Redis highlighting its usefulness in multi-lingual statistical computing.
Binary R Packages for Linux: Past, Present and Future
Iñaki Ucar, Dirk Eddelbuettel
Pre-compiled binary packages provide a convenient way of efficiently distributing software that has been adopted by most Linux package management systems. However, the heterogeneit…
An R Autograder for PrairieLearn
Dirk Eddelbuettel, Alton Barbehenn
We describe how we both use and extend the PrarieLearn framework by taking advantage of its built-in support for external auto-graders. By using a custom Docker container, we can m…